IP Library › Granted Patent US 12,363,914
Granted Patent B2
US 12,363,914 · App. 17/965,099 · Granted Jul 15, 2025

Hybrid transistor and memory cell

Inventors: Kaustav Banerjee (Goleta, CA); Chao-Hui Yeh (Goleta, CA); Wei Cao (Goleta, CA); Arnab Pal (Goleta, CA)
Assignee: The Regents of the University of California
H10B63/30H10B63/84H10N70/883
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Quick Facts
Patent No.
US 12,363,914
App. No.
17/965,099
Granted
Jul 15, 2025
Kind
B2
Abstract

A hybrid switch and memory cell includes a transistor device that has an atomically-thin semiconductor material channel, source/drain electrodes, and gate dielectric. The cell includes a resistive-random-access-memory having a thin conductive edge and a 2D insulator layer over the thin conductive edge, wherein the 2D insulator layer extends over the semiconductor channel and serves as the gate dielectric in the transistor device.

Claims (28)

1. A hybrid transistor and memory cell, comprising:

a substrate with a step;

a thin conductive material on the substrate extended to an edge of the step to expose an edge of the thin conductive material;

a gap in the thin conductive material and a 2D semiconductor material formed within the gap connecting thin conductive material sections on either side of the gap;

a source electrode contacting the thin conductive material on an opposite side of the 2D semiconductor material from the edge of the thin conductive material;

a dual function gate dielectric and switching material upon the thin conductive material and the 2D semiconductor material;

a gate dielectric on the dual function dielectric in alignment with the 2D semiconductor material;

a gate electrode on the upper gate dielectric; and

a bit-line electrode on the dual function dielectric and switching material in alignment with the edge of the thin conductive material.

2. The hybrid transistor and memory cell of claim 1 , wherein the thin conductive material comprises van der Waals material.

3. The hybrid transistor and memory cell of claim 2 , wherein the van der Waals material comprises graphene.

4. The hybrid transistor and memory cell of claim 3 , wherein the 2D semiconductor material comprises a transition-metal-dichalcogenide material.

5. The hybrid transistor and memory cell of claim 4 , wherein the 2D semiconductor material comprises tungsten-disulphide (WS 2 ).

6. The hybrid transistor and memory cell of claim 4 , wherein the dual function dielectric and switching material comprises hexagonal-boron nitride (h-BN).

7. A memory array with active transistor functions comprising a plurality of the hybrid transistor and memory cells of claim 1 in an array, wherein individual connections to the memory cells are via source-lines (SL) and bit-lines (BL).

8. The memory array of claim 7 , wherein the SL and BL are formed of one of copper, cobalt, ruthenium, or tungsten or a bilayer thereof.

9. The memory array of claim 7 , wherein the SL and BL are formed of engineered/doped multi-layer graphene interconnects.

10. The hybrid transistor and memory cell of claim 1 , wherein the gate electrode and bit electrode are connected to each other to enable device switching with unidirectional current pulses, i.e., unipolar operation.

11. A hybrid transistor and memory cell, comprising:

a transistor device having a 2D semiconductor material channel;

a resistive-random-access-memory having a thin conductive material conductive edge electrode and a 2D insulator layer over the thin conductive material edge electrode, wherein the 2D insulator layer extends over the channel and serves as dielectric in the transistor device.

12. The hybrid transistor and memory cell of claim 11 , wherein the thin conductive edge electrode comprises one of a van der Waals material, metal and silicide and the 2D-insulator layer comprises hexagonal boron nitride.

13. The hybrid transistor and memory cell of claim 11 , wherein the thin conductive material edge is a monolayer formed over a step on an insulating substrate.

14. A hybrid transistor and memory cell, comprising:

a transistor device and a resistive resistive-random-access-memory access device that share a 2D dielectric that can store electrical energy in its electric field as a dielectric for the transistor device and as an active switching layer for the resistive resistive-random-access-memory access device;

electrodes for the transistor device and the resistive resistive-random-access-memory access device; and

thin conductive material arranged such that a confined conductive filament is created with appropriate voltage application to allow current to flow between electrodes and indicate storage of a data bit “1” and such that application of an appropriate opposite voltage removes the conductive filament to indicate storage of a data bit “0”.

15. A hybrid transistor and memory cell in accordance with claim 14 in a memory array, wherein the memory array is part of a 3D integration (formed via low thermal budget transistor, memory, dielectrics and interconnect material, and their process integration schemes, and is configured as an ultra-high density (both lateral and vertical) stacked 3D integrated circuits.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 9, 2023
From: BANERJEE, KAUSTAV; YEH, CHAO-HUI; CAO, WEI; PAL, ARNAB
To: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Reel/Frame 062645/0184 →
Continuity (2)
Provisional Application 63255526 · Oct 14, 2021
Related Publication 20230124085A1 · Apr 20, 2023
References Cited (12)
US 11444124B2 · Cheng · 2022 [cited by examiner]
Chen, et al., “Wafer-scale integration of two-dimensionalmaterials in high-density memristive crossbar arrays for artificial neural networks”, Nature Electronics, 2020, vol. 3, pp. 638-645. [cited by applicant]
Gao, et al., “Memristor-based analogue computing for braininspired sound localization with in situ training”, Nature Communications, 2022, vol. 13:2026, pp. 1-8. [cited by applicant]
Lin, et al., “Oxygen-assisted synthesis of hBN films for resistive random access memories”, Applied Physics Letters, 2019, 115, pp. 073101-073101-3. [cited by applicant]
Sivan, et al., “All WSe2 1T1R resistive RAM cell for future monolithic 3D embedded memory integration”, Nature Communications, 2019, 10:5201, pp. 1-12. [cited by applicant]
Tang, et al., “Wafer-scale solution-processed 2D material analog resistive memory array for memory-based computing”, Nature Communications, 2022, 13:3037, pp. 1-9. [cited by applicant]
Wang, et al., 3D Monolithic Stacked 1T1R cells using Monolayer MoS2 FET and hBN RRAM Fabricated at Low (150?? C) Temperature, IEEE, 2018, pp. IEDM18-528-IEDM18-531. [cited by applicant]
Wu, et al., “Thinnest Nonvolatile Memory Based on Monolayer h-BN”, Advanced Materials, 2019, vol. 31, pp. 1-7. [cited by applicant]
Xie, et al., “Hexagonal boron nitride (h-BN) memristor arrays for analog-based machine learning hardware”, npj 2D Materials and Applications, 2022, vol. 50, pp. 1-7. [cited by applicant]
Yang, et al., “A 28nm 1.5Mb Embedded 1T2R RRAM with 14.8 Mb/mm2 Using Sneaking Current Suppression and Compensation Techniques”, IEEE, 2020. [cited by applicant]
Yen, et al., “High Performance All Nonmetal SiNx Resistive Random Access Memory with Strong Process Dependence”, Scientific Reports, 2020, vol. 10:2807, pp. 1-9. [cited by applicant]
Zhuang, et al., “Nonpolar Resistive Switching of Multilayer-hBN-Based Memories”, Advanced Electronic Materials, 2020, vol. 6, pp. 1-5. [cited by applicant]